Professor David Grayden

Research Interests

  • Bionic Ear (Speech processing, bionics, neuroengineering)
  • Bionic Eye (Vision processing, bionics, neuroengineering)
  • Brain-Machine Interfaces (Brain-computer interfaces, bionics, neuroengineering)
  • Computational Neuroscience (Neural modelling, neural learning, neural dynamics, neuroengineering)
  • Epilepsy (Prediction of seizures, seizure control, neuroengineering)

Personal webpage

http://people.eng.unimelb.edu.au/grayden/

Biography

Professor David Grayden is Deputy Head (Academic) of the Department of Electrical and Electronic Engineering and Leader of the Bionics Laboratory in the Centre for Neural Engineering, The University of Melbourne.

Prof Grayden's main research interests are in understanding how the brain processes information, how best to present information to the brain using medical bionics, such as the bionic ear and bionic eye, and how to record information from the brain, such as for brain-machine interfaces. He is also conducting research in epileptic seizure prediction and electrical stimulation to prevent or stop epileptic seizures, and in electrical stimulation of the vagus nerve to control inflammatory bowel disease. He has research linkages with the Bionics Institute, St Vincent's Hospital Melbourne, Royal Melbourne Hospital, University of South Australia, Florey Institute for Neuroscience and Mental Health, and University of Maryland, USA.

Prof Grayden teaches in the Bioengineering and Biomedical Engineering programs.  He teaches in the subjects: BioDesign Innovation, Biosystems Design, and Biomedical Engineering Design Project.  He also contributes to the Neuroscience Research Training course modules.

Research interests:
Computational Neuroscience
Epilepsy
Audition, Speech and Bionic Ear Design
Vision and Bionic Eye Design
Brain-Machine Interfaces
Electroceuticals

Recent Publications

  1. Zarei Eskikand P, Kameneva T, Ibbotson M, Burkitt A, Grayden D. A Possible Role for End-Stopped V1 Neurons in the Perception of Motion: A Computational Model. PLOS ONE. Public Library of Science. 2016, Vol. 11, Issue 10.
  2. Maturana M, Apollo N, Hadjinicolaou AE, Garrett D, Cloherty S, Kameneva T, Grayden D, Ibbotson M, Meffin H. A Simple and Accurate Model to Predict Responses to Multi-electrode Stimulation in the Retina. PLOS COMPUTATIONAL BIOLOGY. Public Library of Science. 2016, Vol. 12, Issue 4.
  3. Erfanian Saeedi N, Blamey P, Burkitt A, Grayden D. An integrated model of pitch perception incorporating place and temporal pitch codes with application to cochlear implant research.. Hear Res. 2016.
  4. Ahmadizadeh S, Nesic D, Grayden D, Freestone D. Analytic synchronization conditions for a network of Wilson and Cowan oscillators. Proceedings of the IEEE Conference on Decision and Control. 2016, Vol. 2016-February.
  5. Saha S, Greferath U, Vessey K, Grayden D, Burkitt A, Fletcher E. CHANGES IN GANGLION CELLS DURING RETINAL DEGENERATION. NEUROSCIENCE. Pergamon-Elsevier Science. 2016, Vol. 329.
  6. Opie N, John S, Rind G, Ronayne S, Grayden D, Burkitt A, May C, O'Brien T, Oxley T. Chronic impedance spectroscopy of an endovascular stent-electrode array. JOURNAL OF NEURAL ENGINEERING. Institute of Physics Publishing. 2016, Vol. 13, Issue 4.
  7. Cook M, Karoly P, Freestone D, Himes D, Leyde K, Berkovic S, O'Brien T, Grayden D, Boston R. Human focal seizures are characterized by populations of fixed duration and interval. EPILEPSIA. Blackwell Science. 2016, Vol. 57, Issue 3.
  8. Karoly P, Freestone D, Boston R, Grayden D, Himes D, Leyde K, Seneviratne U, Berkovic S, O'Brien T, Cook M. Interictal spikes and epileptic seizures: their relationship and underlying rhythmicity. BRAIN. Oxford University Press. 2016, Vol. 139, Issue 4.
  9. Erfanian Saeedi N, Blamey PJ, Burkitt A, Grayden D. Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks. PLOS COMPUTATIONAL BIOLOGY. Public Library of Science. 2016, Vol. 12, Issue 4.
  10. Oxley T, Opie N, John S, Rind G, Ronayne S, Wheeler TL, Judy JW, McDonald A, Dornom A, Lovell T, Steward C, Garrett D, Moffat B, Lui E, Yassi N, Campbell B, Wong Y, Fox KE, Nurse E, Bennett I, Bauquier S, Liyanage K, Van Der Nagel NR, Perucca P, Ahnood A, Gill K, Yan B, Churilov L, French C, Desmond P, Horne M, Kiers L, Prawer S, Davis S, Burkitt A, Mitchell P, Grayden D, May C, O'Brien T. Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity. NATURE BIOTECHNOLOGY. Nature Publishing Group. 2016, Vol. 34, Issue 3.
  11. Ahmadizadeh S, Nesic D, Freestone D, Grayden D. On synchronization of networks of Wilson-Cowan oscillators with diffusive coupling. AUTOMATICA. Pergamon-Elsevier Science. 2016, Vol. 71.
  12. Kameneva T, Maturana MI, Hadjinicolaou AE, Cloherty SL, Ibbotson MR, Grayden D, Burkitt A, Meffin H. Retinal ganglion cells: mechanisms underlying depolarization block and differential responses to high frequency electrical stimulation of ON and OFF cells. JOURNAL OF NEURAL ENGINEERING. Institute of Physics Publishing. 2016, Vol. 13, Issue 1.
  13. Wong Y, Halupka K, Kameneva T, Cloherty SL, Grayden D, Burkitt A, Meffin H, Shivdasani MN. Spectral distribution of local field potential responses to electrical stimulation of the retina. JOURNAL OF NEURAL ENGINEERING. Institute of Physics Publishing. 2016, Vol. 13, Issue 3.
  14. Nurse E, Karoly P, Grayden D, Freestone D. A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery. PLOS ONE. Public Library of Science. 2015, Vol. 10, Issue 6.
  15. Spencer M, Nayagam D, Clarey JC, Paolini A, Meffin H, Burkitt A, Grayden D. Broadband Onset Inhibition Can Suppress Spectral Splatter in the Auditory Brainstem. PLOS ONE. Public Library of Science. 2015, Vol. 10, Issue 5.

David Grayden

Level: 02 Room: 229
Electrical and Electronic Engineering, Parkville
University of Melbourne
3010 Australia

T: +61 3 90353796
F: +61 3 83447422
E: grayden@unimelb.edu.au


View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile